Phillip S. Coburn

1.5k total citations
40 papers, 1.1k citations indexed

About

Phillip S. Coburn is a scholar working on Ophthalmology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Phillip S. Coburn has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ophthalmology, 18 papers in Molecular Biology and 12 papers in Infectious Diseases. Recurrent topics in Phillip S. Coburn's work include Ocular Infections and Treatments (23 papers), Antimicrobial Resistance in Staphylococcus (12 papers) and Bacterial biofilms and quorum sensing (10 papers). Phillip S. Coburn is often cited by papers focused on Ocular Infections and Treatments (23 papers), Antimicrobial Resistance in Staphylococcus (12 papers) and Bacterial biofilms and quorum sensing (10 papers). Phillip S. Coburn collaborates with scholars based in United States, France and Netherlands. Phillip S. Coburn's co-authors include Michael S. Gilmore, Michelle C. Callegan, Frederick C. Miller, Roger Astley, Nathan Shankar, Christopher R. Cox, Arto S. Baghdayan, Wolfgang Haas, Bradley D. Jett and Brandt Wiskur and has published in prestigious journals such as Science, PLoS ONE and Journal of Bacteriology.

In The Last Decade

Phillip S. Coburn

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Phillip S. Coburn United States 21 525 334 320 221 142 40 1.1k
Mary C. Booth United States 12 539 1.0× 391 1.2× 224 0.7× 291 1.3× 133 0.9× 15 1.0k
Pauline Yoong United States 17 758 1.4× 698 2.1× 32 0.1× 66 0.3× 86 0.6× 19 1.3k
Hisatoshi Kaneko Japan 15 338 0.6× 238 0.7× 51 0.2× 48 0.2× 29 0.2× 32 1.1k
Antonio H. Y. Ngan Hong Kong 23 261 0.5× 500 1.5× 42 0.1× 46 0.2× 148 1.0× 44 1.3k
S T Cole France 15 510 1.0× 903 2.7× 17 0.1× 133 0.6× 125 0.9× 18 1.4k
Jong Wan Kim South Korea 18 98 0.2× 323 1.0× 30 0.1× 94 0.4× 26 0.2× 45 745
Petr Petřáš Czechia 17 398 0.8× 417 1.2× 10 0.0× 114 0.5× 192 1.4× 68 889
Philippe J. Dufresne Canada 14 288 0.5× 371 1.1× 24 0.1× 38 0.2× 106 0.7× 34 1.3k
Anne-Merethe Hanssen Norway 12 550 1.0× 737 2.2× 16 0.1× 57 0.3× 351 2.5× 16 959
Tobias Geiger Germany 18 1.1k 2.1× 914 2.7× 10 0.0× 75 0.3× 84 0.6× 32 1.5k

Countries citing papers authored by Phillip S. Coburn

Since Specialization
Citations

This map shows the geographic impact of Phillip S. Coburn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Phillip S. Coburn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip S. Coburn more than expected).

Fields of papers citing papers by Phillip S. Coburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip S. Coburn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Phillip S. Coburn. The network helps show where Phillip S. Coburn may publish in the future.

Co-authorship network of co-authors of Phillip S. Coburn

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip S. Coburn. A scholar is included among the top collaborators of Phillip S. Coburn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phillip S. Coburn. Phillip S. Coburn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Astley, Roger, et al.. (2023). Ocular Bacterial Infections: A Ten-Year Survey and Review of Causative Organisms Based on the Oklahoma Experience. Microorganisms. 11(7). 1802–1802. 12 indexed citations
2.
Coburn, Phillip S., et al.. (2023). The Role of C-X-C Chemokines in Staphylococcus aureus Endophthalmitis. Investigative Ophthalmology & Visual Science. 64(3). 10–10. 3 indexed citations
3.
Astley, Roger, et al.. (2022). Roles of CCL2 and CCL3 in intraocular inflammation during Bacillus endophthalmitis. Experimental Eye Research. 224. 109213–109213. 9 indexed citations
4.
Coburn, Phillip S., et al.. (2021). Immune Inhibitor A Metalloproteases Contribute to Virulence in Bacillus Endophthalmitis. Infection and Immunity. 89(10). e0020121–e0020121. 7 indexed citations
5.
Coburn, Phillip S., et al.. (2021). Intravitreal Injection and Quantitation of Infection Parameters in a Mouse Model of Bacterial Endophthalmitis. Journal of Visualized Experiments. 7 indexed citations
6.
Coburn, Phillip S., et al.. (2021). The Bacillus virulome in endophthalmitis. Microbiology. 167(5). 9 indexed citations
7.
Coburn, Phillip S., et al.. (2020). Innate Immune Interference Attenuates Inflammation In Bacillus Endophthalmitis. Investigative Ophthalmology & Visual Science. 61(13). 17–17. 10 indexed citations
8.
Coburn, Phillip S., et al.. (2020). Bacillus S-Layer-Mediated Innate Interactions During Endophthalmitis. Frontiers in Immunology. 11. 215–215. 21 indexed citations
9.
Astley, Roger, et al.. (2019). An Eye on Staphylococcus aureus Toxins: Roles in Ocular Damage and Inflammation. Toxins. 11(6). 356–356. 52 indexed citations
10.
Miller, Frederick C., et al.. (2019). Targets of immunomodulation in bacterial endophthalmitis. Progress in Retinal and Eye Research. 73. 100763–100763. 57 indexed citations
11.
Coburn, Phillip S., et al.. (2018). TLR4 modulates inflammatory gene targets in the retina during Bacillus cereus endophthalmitis. BMC Ophthalmology. 18(1). 96–96. 26 indexed citations
12.
Coburn, Phillip S., et al.. (2016). Cereolysin O influences TLR4-dependent retinal gene expression during Bacillus cereus endophthalmitis. Investigative Ophthalmology & Visual Science. 57(12). 2344–2344. 2 indexed citations
13.
Coburn, Phillip S., Brandt Wiskur, Frederick C. Miller, et al.. (2016). Bloodstream-To-Eye Infections Are Facilitated by Outer Blood-Retinal Barrier Dysfunction. PLoS ONE. 11(5). e0154560–e0154560. 25 indexed citations
14.
Astley, Roger, et al.. (2016). Modeling intraocular bacterial infections. Progress in Retinal and Eye Research. 54. 30–48. 37 indexed citations
15.
McBride, Shonna M., Phillip S. Coburn, Arto S. Baghdayan, et al.. (2009). Genetic Variation and Evolution of the Pathogenicity Island of Enterococcus faecalis. Journal of Bacteriology. 191(10). 3392–3402. 57 indexed citations
16.
Cox, Christopher R., Phillip S. Coburn, & Michael S. Gilmore. (2005). Enterococcal Cytolysin: A Novel Two Component Peptide System that Serves as a Bacterial Defense Against Eukaryotic and Prokaryotic Cells. Current Protein and Peptide Science. 6(1). 77–84. 119 indexed citations
17.
Coburn, Phillip S., et al.. (2004). Enterococcus faecalis Senses Target Cells and in Response Expresses Cytolysin. Science. 306(5705). 2270–2272. 84 indexed citations
18.
Shankar, Nathan, Phillip S. Coburn, Chris M. Pillar, Wolfgang Haas, & Michael S. Gilmore. (2004). Enterococcal cytolysin: activities and association with other virulence traits in a pathogenicity island. International Journal of Medical Microbiology. 293(7-8). 609–618. 46 indexed citations
19.
Coburn, Phillip S. & Michael S. Gilmore. (2003). The Enterococcus faecalis cytolysin: a novel toxin active against eukaryotic and prokaryotic cells. Cellular Microbiology. 5(10). 661–669. 142 indexed citations
20.
Coburn, Phillip S., Lynn E. Hancock, Mary C. Booth, & Michael S. Gilmore. (1999). A Novel Means of Self-Protection, Unrelated to Toxin Activation, Confers Immunity to the Bactericidal Effects of the Enterococcus faecalis Cytolysin. Infection and Immunity. 67(7). 3339–3347. 35 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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